AI Engineer
At a glance
Mid-level AI Engineering role at Körber Group. Pécs.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain web applications with Java and Spring Boot on the backend and Angular on the frontend
- Use AI coding assistants to draft, revise and document code, and try new tools that could improve team workflows
- Connect REST APIs to SQL or NoSQL databases, and manage code changes through Git branches and merges
- Create reusable Angular components and package applications with Docker for consistent environments
- Join agile team sessions and review code, including checking AI-generated suggestions
What you bring
- You have a strong grounding in Java 17 or later, with Spring Boot experience required
- You work proficiently with TypeScript and modern Angular, and can manage Git merges and rebases
- You can create Dockerfiles and manage container images
- You have used AI tools for code generation, tests or debugging, and can write clear LLM instructions
- You can assess AI-written code for security risks and performance problems
Who this fits
This mid-level role suits a pragmatic developer who can balance hands-on coding with careful review of AI-generated work. The position is based in Pécs, Hungary.
From the employer
We are Körber – an international technology group with around 10,000 employees at more than 100 locations worldwide, united by a common goal: transforming entrepreneurial thinking into customer success and shaping technological change.
In our Business Areas – Pharma, Supply Chain, and Technologies – we offer inspiring products, solutions, and services. We respond quickly to customer needs, implement ideas seamlessly, and create added value through our innovations. In doing so, we are increasingly building ecosystems that solve the challenges of today and tomorrow.
Körber AG is the holding company of the Körber Group.
We are looking for a forward-thinking developer who bridges the gap between traditional enterprise stability and the modern AI-driven development era. You will build robust systems using Java (Spring Boot) and Angular, while actively leveraging and integrating AI tools to accelerate delivery and enhance product intelligence.
What You’ll Do
- Develop & Maintain: Build scalable web applications using Java (Spring Boot) and Angular.
- Use AI coding assistants (e.g., GitHub Copilot, Cursor, or internal LLMs) to write, refactor, and document code efficiently.
- Manage Data: Design and integrate RESTful APIs and handle database interactions (SQL/NoSQL).
- Control the Version: Use Git - clean commits, meaningful branch names, and painless merges. Branching strategies like: gitflow
- Own the Frontend: Create modular, reusable components in Angular that don't just work, but feel great to use.
- Containerize: Use Docker to ensure our environment stays consistent from dev to production.
- Collaborate: Participate in code reviews (giving and receiving) and agile ceremonies.
- Continuous Learning: Stay ahead of the curve by testing and adopting new AI dev-tools that improve the team’s workflow.
What You Bring to the Table
The Core Stack:
- Java: Strong foundation in Java 17/21+. Experience with Spring Boot is a must.
- Angular: Proficiency in TypeScript and modern Angular (v17+ preferred).
- Git: You know the difference between a rebase and a merge (and when to use each).
- Docker: You can write a Dockerfile, manage images, and understand why "containerization" isn't just a buzzword.
The AI & Tooling Edge:
- AI Orchestration: Experience using AI tools for boilerplate generation, unit test creation, and complex debugging.
- Prompt Engineering: The ability to craft precise instructions for LLMs to get high-quality, secure code outputs.
- Critical Evaluation: You don't just "Copy-Paste" AI suggestions; you have the technical depth to audit AI code for security vulnerabilities and performance bottlenecks. HITL (Human in the Loop)
The "Nice-to-Haves":
- Experience integrating OpenAI/Anthropic/Gemini APIs into web applications.
- Familiarity with vector databases (like pgvector or Pinecone) or LangChain.
- Familiarity with Cloud platforms (AWS, Azure, or GCP).
- A "testing" mindset—experience with JUnit, or Jasmine/Karma or equivalent
- Familiar with Liferay CMS System
Who You Are
- Pragmatic: You know when to write code from scratch and when to let an AI assistant do the heavy lifting.
- Curious: You don't wait for a training manual; you're already experimenting with the latest LLM models and plugins.
- Quality-Focused: You understand that as AI generates more code, the human's role as a "Code Reviewer" becomes even more vital.
Our recruitment team is happy to support you: toborzas.hungaria@koerber.com
Please apply exclusively via the “Apply now” button on the job portal